qpsk_ber

一 维 时 域 有 限 差 分 法 MATLAB 代 码(One-dimensional finite difference time domain method MATLAB code)

基于SIAR体制的脉冲综合的MATLAB程序，阵列模型是发射阵元19个，接收阵元40个，分布在三个圆环上，信号是线性调频信号，加了多普勒频率的影响。(SIAR system based on pulse-integrated MATLAB program, the array model is the launch array element 19, the receiver array elements 40, distributed in three rings, the signal is linear FM signal, plus the Doppler frequencies.)

deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

CHAOTIC MAP 1D AND 2D FOR MATLAB

BP神经网络 matlab程序 附有所需数据的excel文件 适合神经网络入门(BP neural network matlab program)

说明：  三相电压型整流器控制，控制方法是模型预测控制，可以在simulink上完美运行。(The control method of three-phase voltage source rectifier is model predictive control, which can operate perfectly on Simulink.)

说明：  一份经过精心设计的海报模板，大家可以相互交流一下的呢(A poster template is designed, we can look at the then exchange)

绘出余弦的16个点的傅立叶变化图，你可以在程序中改变点的个数，得到你想要的图形(Draw the 16-point cosine Fourier map changes, you can change in the program the number of points to get the graphic you want)

This is more efficient than RRSQRT

PID控制算法中，根据一节延迟传递函数的放大倍数K、延迟时间L和时间常数T，获得PID中比例环节、微分环节和积分环节的参数(PID control algorithm, according to a delay in the transfer function of magnification K, the delay time L and time constant T, to obtain the proportion of PID in the link, differential and integral link in the parameters of link)